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Do, Minh N. Do, Minh N. Patel, Sanjay J. Hart, John C. Hoiem, Derek Meyer, Gregory Paul 2017-03-01T15:49:05Z 2017-03-01T15:49:05Z 2016-11-22 2016-12 We present a method for real-time 3D face localization and verification using a consumer-grade depth camera. Our approach consists of three parts: face detection, head pose estimation, and face verification. Face detection is performed using a standard detection framework which we significantly improve by leveraging depth information. To estimate the pose of the detected face, we developed a technique that uses a combination of the particle swarm optimization (PSO) and the iterative closest point (ICP) algorithm to accurately align a 3D face model to the measured depth data. With the face localized within the image, we can compare a database 3D face model to the depth image to verify the identity of the subject. We learn a similarity metric using a random decision forest to accurately authenticate the subject. We demonstrate state-of-the-art results for both face localization and face verification on standard datasets. Since the camera and our method operate at video rate, our system is capable of continuously authenticating a subject while he/she uses his/her device. Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2017-02-28 without embargo terms The student, Gregory Meyer, accepted the attached license on 2016-11-22 at 15:27. The student, Gregory Meyer, submitted this Dissertation for approval on 2016-11-22 at 15:42. This Dissertation was approved for publication on 2016-11-22 at 16:22. DSpace SAF Submission Ingestion Package generated from Vireo submission #10301 on 2017-02-28 at 14:52:04 Made available in DSpace on 2017-03-01T15:49:05Z (GMT). No. of bitstreams: 3 MEYER-DISSERTATION-2016.pdf: 26490223 bytes, checksum: 7bf2a662690b3cf8c420b08b99957763 (MD5) LICENSE.txt: 4210 bytes, checksum: af23a663780de3e67e66be04f7c221cf (MD5) PROQUEST_LICENSE.txt: 4556 bytes, checksum: af77e371176136030c5e2762dfade9be (MD5) Previous issue date: 2016-11-22 application/pdf http://hdl.handle.net/2142/95341 en Copyright 2016 Gregory Meyer Computer Vision 3D Face Detection Face Verification Face Recognition Head Pose Estimation Depth Cameras Real-time 3D face localization and verification text text Electrical & Computer Eng Electrical & Computer Engr University of Illinois at Urbana-Champaign Dissertation Ph.D.